Key result
Camera-based vital signs estimation using the MSPM dataset achieved an intradataset pulse rate mean absolute error below 4 beats per minute and a respiratory rate MAE of 1.09 breaths per minute.
Why the study?
Datasets to support the study of simultaneous camera-based vital signs estimation from multiple locations on the body were lacking.
The MSPM dataset provides a high-quality resource for developing and validating camera-based remote physiological monitoring technologies.
Dataset accuracy supports technical progress; leaves open clinical validation before practice adoption.
Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the multisite physiological monitoring (MSPM) dataset, which is the first dataset collected to support the study of simultaneous camera-based vital signs estimation from multiple locations on the body. MSPM enables research on remote photoplethysmography (rPPG), respiration rate, and pulse transit time (PTT); it contains ground-truth measurements of pulse oximetry (at multiple body locations) and blood pressure (BP) using contact sensors. We provide thorough experiments demonstrating the suitability of MSPM to support research on rPPG, respiration rate, and PTT. Cross-dataset rPPG experiments reveal that MSPM is a challenging, yet high-quality dataset, with intradataset pulse rate mean absolute error (MAE) below 4 beats per minute (BPM) and cross-dataset pulse rate MAE below 2 BPM in certain cases. Baseline methods for respiratory rate estimation achieve an MAE of 1.09 breaths per minute by extracting motion features from the chest. PTT experiments find that across the pairs of different body sites, there is a high correlation between remote PTT and contact-measured PTT, which facilitates the possibility of future camera-based PTT research.
No takes yet. Share an insight, caveat, or question.
Speth et al. (2024) studied this question. Camera-based vital signs estimation vs. Contact sensors was evaluated on Pulse rate and respiratory rate mean absolute error (MAE). Camera-based vital signs estimation using the MSPM dataset achieved an intradataset pulse rate mean absolute error below 4 beats per minute and a respiratory rate MAE of 1.09 breaths per minute.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
More from IEEE Transactions on Instrumentation and Measurement